Session Outline
Lego revolutionized play by introducing a structured yet creative building process. What if developing data products followed the same principles—intuitive, modular, and fast? In this session, we’ll explore how structured workflows and modular frameworks enable rapid data product development. Just as Lego provides standardized components that snap together seamlessly, modern data platforms can streamline integration, orchestration, and deployment. Join Suraj and Adrian as they delve into key technical challenges in data product development and demonstrate practical solutions using best-in-breed industry platforms like Databricks and Snowflake. Through real-world case studies and a live demonstration, we’ll showcase how organizations can cut through inefficiencies and rapidly turn ideas into operational solutions
Key Takeaways
- The role of standardization and modularity in accelerating data product development
- Strategies for overcoming common bottlenecks in data engineering and orchestration
- A live demonstration of structured workflows that enable rapid iteration and deployment
- Lessons from real-world implementations where structured approaches led to faster outcomes
